Michał Żochowski

3.3k citations
100 papers · 2.1k indexed · h-index 24
Topics
Neural dynamics and brain function (60 papers)Neuroscience and Neuropharmacology Research (29 papers)Nonlinear Dynamics and Pattern Formation (19 papers)

In The Last Decade

Michał Żochowski

95 papers receiving 2.0k citations

Peers

Michał Żochowski
Comparison fields: 5 of 141
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 1.0k
  • Statistical and Nonlinear Physics 338
  • Molecular Biology 311
  • Computer Networks and Communications 306
Replace Yuguo Yu with:
Yuguo Yu China
Ştefan Mihalaş United States
Paul Tiesinga United States
Jian‐Young Wu United States
Tomoki Fukai Japan
Tim P. Vogels United Kingdom
Ilan Lampl Israel
Sonja Grün Germany
Arvind Kumar Germany
Andrea R. Hasenstaub United States
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Citations per field
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Citations per year

Countries citing papers authored by Michał Żochowski

Since Specialization
Citations

This map shows the geographic impact of Michał Żochowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michał Żochowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Żochowski more than expected).

Fields of papers citing papers by Michał Żochowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Żochowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michał Żochowski. The network helps show where Michał Żochowski may publish in the future.

Co-authorship network of co-authors of Michał Żochowski

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Żochowski. A scholar is included among the top collaborators of Michał Żochowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Żochowski. Michał Żochowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 19
6 6
7 12
8 3
9 4
10 11
11 31
12 12
13 64
14 11
15 4
16 50
17 1
18 13
19 53
20 13

About Michał Żochowski

Michał Żochowski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (60 papers), Neuroscience and Neuropharmacology Research (29 papers) and Nonlinear Dynamics and Pattern Formation (19 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (1.0k citations) and Sensory Systems (228 citations). Michał Żochowski has collaborated with scholars based in United States, Poland and Israel. Frequent co-authors include Lawrence B. Cohen, Matt Wachowiak, Sara J. Aton, Victoria Booth, Nicolette Ognjanovski, Andrzej Nowak, Ying‐Wan Lam, Rhonda Dzakpasu, Jack M. Parent and Robin R. Vallacher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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